Luis Doo
Papers
1
Total Citations
4
H-Index
1
About
Luis Doo is a robotics researcher specializing in autonomous mobile robot (AMR) fleet management and industrial logistics. His work addresses the critical challenge of coordinating multiple robots in dynamic, security-heterogeneous shop-floor environments, where robots must navigate, load, and unload goods while sharing space and resources safely. His most-cited paper, "Fleet Management System for Autonomous Mobile Robots in Secure Shop-floor Environments" (2021, 4 citations), introduces a novel system that enables efficient task allocation and collision-free movement in factories with varying security zones. This contribution is particularly valuable for modern manufacturing, where flexibility and safety are paramount. Doo’s research bridges the gap between theoretical multi-robot coordination and practical industrial deployment, offering solutions that enhance productivity without compromising security protocols. His work is foundational for students and engineers aiming to implement scalable AMR systems in real-world logistics, and it underscores the growing importance of intelligent fleet management in Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1